PO.MCB07.02 · 分子与细胞生物学
多组学分析确定BACH2转录因子为驱动EGFR突变型肺腺癌对靶向治疗产生药物耐受的关键表观遗传和转录抑制因子
Multi-omic analysis identifies BACH2 transcription factor as key epigenetic and transcriptional repressor driving drug-tolerance to targeted therapy in EGFR-mutant lung adenocarcinoma
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摘要 Abstract
中文摘要
理论依据:药物耐药性对接受奥希替尼(第三代EGFR酪氨酸激酶抑制剂)治疗的EGFR突变型肺癌患者构成重大挑战。非突变机制,尤其是药物耐受持存(DTP)细胞中的表观遗传改变,使细胞得以在致死性药物压力下存活并播种耐药性。需要更深入地了解这些机制,以评估靶向DTP细胞中的表观遗传变化是否可能成为一种有前景的治疗策略。
方法:我们开展了一项临床前多组学研究,以绘制驱动EGFR突变型肺癌中DTP的表观遗传和转录变化图谱。使用暴露于奥希替尼14天的PC9-DTP细胞系,我们联合运用单细胞和批量组学检测,分析界定DTP状态的全基因组DNA甲基化、染色质可及性和转录组图景。通过整合分析提名顶级表观遗传调控因子,并分析来自其他EGFR突变型肺癌模型的公共数据集进行验证。
结果:DTP细胞在绝大多数(88.7%)差异甲基化区域表现出全局DNA高甲基化。顺式调控区域的高甲基化与关闭的染色质和降低的转录密切相关(R=-0.64,p<2.2e-16),反映了协调的表观遗传沉默。利用单细胞多组学检测的配对转录组和染色质特征,基因调控网络分析和计算机模拟扰动确定BACH2——一种转录和表观遗传抑制因子——为DTP特异性网络中的顶级抑制性转录因子。此外,染色质重塑因子HMGA1是受BACH2抑制最强烈的靶基因之一。基于基序富集分析,BACH2特异性DNA结合基序在高甲基化区域(p<1e-4)和关闭的染色质区域(p<1e-6)中富集,伴随相应靶基因(包括HMGA1)的下调。此外,对BACH2抑制的靶基因进行的通路分析揭示了氧化磷酸化和ATP合成的富集,表明存在代谢转变。最后,分析来自其他细胞系模型、患者来源类器官(PDO)、异种移植物(PDX)和患者肿瘤样本的公共转录组数据集,证实BACH2在DTP和残留病状态中一致上调,以及HMGA1和其他靶基因的下调。
结论:这些发现将BACH2定位为奥希替尼诱导的DTP状态中表观遗传沉默和代谢重编程的关键贡献者。总体而言,我们的多组学方法为药物耐受机制提供了高分辨率见解,并将BACH2提名为优先靶点,可能为改善患者预后的新治疗策略提供依据。
查看英文原文 English abstract
RATIONALE Drug resistance poses a significant challenge for EGFR-mutant lung cancer patients treated with osimertinib, a 3rd-generation EGFR tyrosine kinase inhibitor. Non-mutational mechanisms, particularly epigenetic alterations in drug-tolerant persister (DTP) cells, enable survival under lethal drug pressure and seed resistance. A deeper understanding of these mechanisms is required to evaluate whether targeting epigenetic changes in DTP cells may represent a promising therapeutic strategy.
METHODS We conducted a preclinical multi-omic study to map the epigenetic and transcriptional changes driving DTP in EGFR-mutant lung cancer. Using PC9-DTP cell line exposed to osimertinib for 14 days, we employed a combination of single-cell and bulk omics assays to profile genome-wide DNA methylation, chromatin accessibility, and transcriptomic landscapes defining the DTP state. Top epigenetic regulators were nominated from integrative analyses, and public datasets from other EGFR-mutant lung cancer models were analyzed for validation.
RESULTS DTP cells displayed global DNA hypermethylation across the vast majority (88.7%) of differentially methylated regions. Hypermethylation in cis-regulatory regions were strongly associated with closed chromatin and reduced transcription (R=-0.64, p<2.2e-16), reflecting coordinated epigenetic silencing. Gene regulatory network analysis and in silico perturbation, leveraging paired transcriptomic and chromatin features from single-cell multi-omic assay, identifies BACH2 - transcriptional and epigenetic repressor - as the top repressive transcription factor in DTP-specific networks. Additionally, chromatin remodeler HMGA1 was among the target genes most strongly repressed by BACH2. Based on motif enrichment analysis, BACH2-specific DNA-binding motifs were enriched in hypermethylated (p<1e-4) and closed chromatin regions (p<1e-6), accompanying the downregulation of corresponding target genes, including HMGA1. Furthermore, pathway analysis of BACH2-repressed target genes revealed enrichment in oxidative phosphorylation and ATP synthesis, indicating a metabolic shift. Finally, analyzing public transcriptomic datasets from other cell line models, patient-derived organoids (PDOs), xenografts (PDXs), and patient tumor samples confirmed consistent BACH2 upregulation in DTP and residual disease state, as well as downregulation of HMGA1 and other target genes.
CONCLUSION These findings position BACH2 as a key contributor of epigenetic silencing and metabolic reprogramming in osimertinib-induced DTP state. Overall, our multi-omic approach provides high-resolution insight into drug-tolerance mechanisms and nominates BACH2 as a priority target, potentially informing novel therapeutic strategy for improved patient outcome.
利益披露 Disclosure
Y. Kudo, None..
A. Singhawansa, None..
Y. Zeng, None..
C. O'Brien, None..
S. Bratman, None..
G. Liu, None.